Conformance analysis for comorbid patients in Answer Set Programming.,Journal of Biomedical informatics

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Conformance analysis for comorbid patients in Answer Set Programming.
Journal of Biomedical informatics ( IF 4.0 ) Pub Date : 2020-01-27 , DOI: 10.1016/j.jbi.2020.103377
Luca Piovesan ₁ , Paolo Terenziani ₁ , Daniele Theseider Dupré ₁

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The treatment of comorbid patients is a hot problem in Medical Informatics, since the plain application of multiple Computer-Interpretable Guidelines (CIGs) can lead to interactions that are potentially dangerous for the patients. The specialized literature has mostly focused on the "a priori" or "execution-time" analysis of the interactions between multiple Computer-Interpretable Guidelines (CIGs), and/or CIG "merge". In this paper, we face a complementary problem, namely, the a posteriori analysis of the treatment of comorbid patients. Given the CIGs, the history of the status of the patient, and the log of the clinical actions executed on her, we try to explain the actions executed on the patient (i.e., the log) in terms of the actions recommended by the CIGs, of their potential interactions, and of the possible ways of managing each such interaction, pointing out (i) deviations from CIG recommendations not explained in terms of interaction management (if any) and (ii) unmanaged interactions (if any). Our approach is based on Answer Set Programming, and, to face realistic problems, devotes specific attention to the temporal dimension.

中文翻译：

答案集编程中对合并症患者的符合性分析。

在医学信息学中，合并症患者的治疗是一个热门问题，因为简单地应用多个计算机可解释性指南（CIG）可能导致相互作用，对患者有潜在危险。专业文献主要集中在对多个计算机可解释性准则（CIG）和/或CIG“合并”之间的交互进行“先验”或“执行时”分析。在本文中，我们面临一个补充问题，即对合并症患者的后验分析。给定CIG，患者状态的历史记录以及对她执行的临床行动日志，我们尝试根据CIG推荐的行动来解释对患者执行的行动（即日志），他们潜在的互动，以及管理每种此类交互的可能方式，指出（i）与CIG建议的差异（未在交互管理（如果有）方面进行解释）和（ii）非托管交互（如果有）。我们的方法基于“答案集编程”，并且面对现实问题，特别关注时间维度。

更新日期：2020-01-27

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